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        If you use plots from MultiQC in a publication or presentation, please cite:

        MultiQC: Summarize analysis results for multiple tools and samples in a single report
        Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
        Bioinformatics (2016)
        doi: 10.1093/bioinformatics/btw354
        PMID: 27312411

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        About MultiQC

        This report was generated using MultiQC, version 1.21

        You can see a YouTube video describing how to use MultiQC reports here: https://youtu.be/qPbIlO_KWN0

        For more information about MultiQC, including other videos and extensive documentation, please visit http://multiqc.info

        You can report bugs, suggest improvements and find the source code for MultiQC on GitHub: https://github.com/MultiQC/MultiQC

        MultiQC is published in Bioinformatics:

        MultiQC: Summarize analysis results for multiple tools and samples in a single report
        Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
        Bioinformatics (2016)
        doi: 10.1093/bioinformatics/btw354
        PMID: 27312411

        A modular tool to aggregate results from bioinformatics analyses across many samples into a single report.

        Report generated on 2024-03-07, 08:54 UTC based on data in:

        General Statistics

        Showing 47/47 rows and 2/2 columns.
        Sample Name% AlignedM Aligned
        Sample_24L003948
        76.0%
        10.1M
        Sample_24L003949
        76.5%
        11.5M
        Sample_24L003950
        76.0%
        11.6M
        Sample_24L003951
        76.5%
        10.7M
        Sample_24L003952
        75.8%
        12.1M
        Sample_24L003953
        74.9%
        10.9M
        Sample_24L003954
        75.1%
        11.5M
        Sample_24L003955
        74.3%
        10.4M
        Sample_24L003956
        75.6%
        9.7M
        Sample_24L003957
        75.6%
        10.6M
        Sample_24L003958
        75.1%
        10.6M
        Sample_24L003959
        76.1%
        10.8M
        Sample_24L003960
        75.4%
        11.0M
        Sample_24L003961
        75.5%
        11.6M
        Sample_24L003962
        75.7%
        10.3M
        Sample_24L003963
        74.5%
        11.4M
        Sample_24L003964
        74.1%
        11.7M
        Sample_24L003965
        74.3%
        11.3M
        Sample_24L003966
        72.7%
        11.4M
        Sample_24L003967
        71.8%
        11.2M
        Sample_24L003968
        73.6%
        11.5M
        Sample_24L003969
        72.9%
        11.7M
        Sample_24L003970
        73.5%
        11.7M
        Sample_24L003971
        73.1%
        9.9M
        Sample_24L003972
        75.7%
        11.0M
        Sample_24L003973
        75.3%
        11.7M
        Sample_24L003974
        74.9%
        9.6M
        Sample_24L003975
        74.8%
        10.4M
        Sample_24L003976
        74.9%
        11.7M
        Sample_24L003977
        76.1%
        11.6M
        Sample_24L003978
        75.3%
        10.9M
        Sample_24L003979
        75.1%
        11.5M
        Sample_24L003980
        74.8%
        10.1M
        Sample_24L003981
        73.7%
        9.4M
        Sample_24L003982
        73.7%
        8.8M
        Sample_24L003983
        75.0%
        11.7M
        Sample_24L003984
        74.5%
        11.4M
        Sample_24L003985
        74.5%
        12.4M
        Sample_24L003986
        75.8%
        10.4M
        Sample_24L003987
        73.6%
        11.6M
        Sample_24L003988
        73.8%
        10.8M
        Sample_24L003989
        73.8%
        11.1M
        Sample_24L003990
        74.2%
        11.8M
        Sample_24L003991
        74.2%
        9.5M
        Sample_24L003992
        74.8%
        10.0M
        Sample_24L003993
        74.2%
        12.9M
        Sample_24L003994
        75.4%
        13.3M

        STAR

        STAR is an ultrafast universal RNA-seq aligner.DOI: 10.1093/bioinformatics/bts635.

        Alignment Scores

        Created with MultiQC

        MultiQC v1.21 - Written by Phil Ewels, available on GitHub.

        This report uses HighCharts, jQuery, jQuery UI, Bootstrap, FileSaver.js and clipboard.js.